Understanding public opinion towards immigrants is key to prevent acts of violence, discrimination and abuse. Traditional data sources, such as surveys, provide rich insights into the formation of such attitudes; yet, they ...

This paper presents a work consisting in using deep convolutional neural networks (CNNs) to facilitate the curation of brand-related social media images. The final goal is to facilitate searching and discovering user-generated ...

La Biblioteca del Campus del Baix Llobregat de la Universitat Politècnica de Catalunya a Castelldefels dona suport a les dues escoles del Campus: l’Escola Superior d’Agricultura de Barcelona (ESAB), l’Escola d’Enginyeria ...

This paper concerns the effectiveness of the use of social networks in attitudinal training courses such as “Leadership”. It is aimed at: 1)comparing the participation of students in study discussions when using or not ...

Social media is a phenomenon that has transformed the interaction and communication of individuals throughout the world. In recent times, social media has affected many aspects of human communication, as well as business. ...

Many researchers (e.g., Johns, 2014; Parveen, Jaafar & Ainin, 2014; Razmerita, Kirchner & Nabeth, 2014) have suggested the use of social media in companies has several and different positive effects on the behaviors of ...

Purpose: To analyze students’ social media preference in order to improve student engagement with university by examining social media implementation quality in terms of information and service quality. Design/methodo ...

Social media is achieving an increasing importance as a channel for gathering information about products and services. Brands are developing its presence in social networking sites to meet brand awareness, engagement and ...

Visual multimedia have become an inseparable part of our digital social lives, and they often capture moments tied with deep affections. Automated visual sentiment analysis tools can provide a means of extracting the rich ...